资源介绍
Context The objective of this task is to detect hate speech in tweets. For the sake of simplicity, we say a tweet contains hate speech if it has a racist or sexist sentiment associated with it. So, the task is to classify racist or sexist tweets from other tweets. Formally, given a training sample of tweets and labels, where label '1' denotes the tweet is racist/sexist and label '0' denotes the tweet is not racist/sexist, your objective is to predict the labels on the test dataset. Content Full tweet texts are provided with their labels for training data. Mentioned users' username is replaced with @user. Acknowledgements Dataset is provided by [Analytics Vidhya](http://https://datahack.analyticsvidhya.com/contest/practice-problem-twitter-sentiment-analysis/)
